# LangChain

Framework for building LLM-powered applications with chains, agents, tools, and 100+ integrations.

## Agent Decision Summary
- Risk level: moderate
- Source confidence: high
- Recommended workflows: Connector or protocol layer
- Permission surface: memory, external services
- Agent JSON: https://www.openagent.bot/agents/langchain.agent.json

## What It Does
LangChain is a agent in the agents category. Framework for building LLM-powered applications with chains, agents, tools, and 100+ integrations.

## How To Evaluate
Evaluate LangChain by starting from the official sources, checking its interface surface, and running one narrow workflow before expanding scope.


## Fit Matrix
- Connector or protocol layer: strong. LangChain has multiple signals for connector or protocol layer, including matching tags, capabilities, category, or positioning. Required check: Connect one low-risk service, then inspect schemas, auth scope, errors, and logs.
- Coding agent workflow: partial. LangChain has at least one signal for coding agent workflow, but should be checked against a real task before adoption. Required check: Run a small repository change and inspect the diff, tests, and rollback path.
- Memory or RAG workflow: partial. LangChain has at least one signal for memory or rag workflow, but should be checked against a real task before adoption. Required check: Create, update, retrieve, correct, and delete memory or retrieval objects with real data.
- Reusable skill workflow: partial. LangChain has at least one signal for reusable skill workflow, but should be checked against a real task before adoption. Required check: Run one skill end to end and check whether it produces evidence or structured output.
- Browser automation: weak. LangChain is not primarily positioned for browser automation in the current metadata. Required check: Run one non-sensitive website task and inspect clicks, waits, retries, and changed URLs.
- Evaluation and observability: weak. LangChain is not primarily positioned for evaluation and observability in the current metadata. Required check: Add one repeatable test case and confirm results can run again in review or CI.

## Evidence
- verified: LangChain is listed as open source. Source: License metadata: MIT
- verified: LangChain has a recorded GitHub repository: langchain-ai/langchain. Source: Resource facts and GitHub source link.

## Missing Checks
- Repository freshness has not been recorded.

## Next Actions
- Inspect repository: https://github.com/langchain-ai/langchain
- Read setup docs: https://python.langchain.com

## Facts
- Category: agents
- Resource type: agent
- Open source: yes
- License: MIT
- Last verified: 2026-06-16
- GitHub repo: langchain-ai/langchain
- GitHub stars: 122000

## Links
- GitHub: https://github.com/langchain-ai/langchain
- Docs: https://python.langchain.com

## Structured Outputs
- JSON: https://www.openagent.bot/agents/langchain.json
- Markdown: https://www.openagent.bot/agents/langchain.md
- Agent JSON: https://www.openagent.bot/agents/langchain.agent.json
- Canonical: https://www.openagent.bot/agents/langchain